{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T23:44:01Z","timestamp":1771890241303,"version":"3.50.1"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,19]]},"DOI":"10.1109\/icip42928.2021.9506514","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T21:08:41Z","timestamp":1629752921000},"page":"654-658","source":"Crossref","is-referenced-by-count":11,"title":["Generalizing Floor Plans Using Graph Neural Networks"],"prefix":"10.1109","author":[{"given":"Christoffer P.","family":"Simonsen","sequence":"first","affiliation":[{"name":"Aalborg University,Visual Analysis and Perception Laboratory,Rendsburggade 14,Aalborg,Denmark,9000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frederik M.","family":"Thiesson","sequence":"additional","affiliation":[{"name":"Aalborg University,Visual Analysis and Perception Laboratory,Rendsburggade 14,Aalborg,Denmark,9000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark P.","family":"Philipsen","sequence":"additional","affiliation":[{"name":"Aalborg University,Visual Analysis and Perception Laboratory,Rendsburggade 14,Aalborg,Denmark,9000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas B.","family":"Moeslund","sequence":"additional","affiliation":[{"name":"Aalborg University,Visual Analysis and Perception Laboratory,Rendsburggade 14,Aalborg,Denmark,9000"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-013-0215-2"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2017.76"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-019-00340-1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3210499.3210528"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/technologies6040101"},{"key":"ref16","article-title":"How powerful are graph neural networks?","author":"xu","year":"2018","journal-title":"arXiv 1810 00826"},{"key":"ref17","first-page":"1","article-title":"Dynamic graph cnn for learning on point clouds","volume":"38","author":"wang","year":"2019","journal-title":"Trans on Graphics"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"ref19","first-page":"652","article-title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","author":"qi","year":"2017","journal-title":"Proc IEEE Conf on Computer Vision and Pattern Recognition"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20205-7_3"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.23919\/MVA.2017.7986875"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1815330.1815352"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3384544.3384566"},{"key":"ref8","first-page":"2422","article-title":"A unified framework for semantic matching of architectural floor-plans","author":"sharma","year":"2016","journal-title":"Proc 23rd Int Conf on Pattern Recognition"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/DAS.2012.22"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00919"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.241"},{"key":"ref1","author":"lanjudkar","year":"2018","journal-title":"Global indoor positioning and indoor navigation market &#x2013; industry analysis and forecast (2018-2025)"},{"key":"ref20","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"arXiv 1609 02907"},{"key":"ref22","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref21","article-title":"Graph attention networks","author":"veli?kovi?","year":"2018","journal-title":"Int Conf on Learning Representations"},{"key":"ref24","article-title":"Topology adaptive graph convolutional networks","author":"du","year":"2017","journal-title":"arXiv 1710 10370"},{"key":"ref23","article-title":"Attention-based graph neural network for semi-supervised learning","author":"thekumparampil","year":"2018","journal-title":"arXiv 1803 03735"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v091.i01"}],"event":{"name":"2021 IEEE International Conference on Image Processing (ICIP)","location":"Anchorage, AK, USA","start":{"date-parts":[[2021,9,19]]},"end":{"date-parts":[[2021,9,22]]}},"container-title":["2021 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9506008\/9506009\/09506514.pdf?arnumber=9506514","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T21:18:15Z","timestamp":1655759895000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9506514\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,19]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icip42928.2021.9506514","relation":{},"subject":[],"published":{"date-parts":[[2021,9,19]]}}}